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Data Labelling Engineer
1 month ago
Job Responsibilities:
- Support data classification and taxonomy methods and standards
- Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate
- Support in improving algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels and put forward suggestions and basis for annotation/labelling
- Participate in the discussion of algorithm model improvement solutions
- Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database
- Improve the data annotation operation process, optimize the label sampling and review mechanism
- Participate in the functional optimization design of the annotation platform
Requirements:
- Majored in Computer Science or IT related, with minimum 2 years of research and development in testing, data analyst or DBA experience
- Familiar with all kinds of data samples in storage
- Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes
- Be able to effectively do repetitive tasks and effectively with a minimum of errors
- Knowledge of data modelling, artificial intelligence and machine learning
Tell employers what skills you have
Machine Learning
Data modelling
Big Data
Data Modeling
Data Management
Artificial Intelligence
Data Classification
Data Engineering
Data Mining
SQL
Data Warehousing
Databases
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